Presentation 1995/5/25
On Prediction Models of Community Response to Acoustical Environment (III) : Predicting with Neural Network from Leq's for Several Time-Sections
Shigeki Kawai, Yuichi Noro, Kazuhiro Kuno,
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Abstract(in English) This report presents two prediction models of community response to environmental noise. These models predict the distribution of inhabitants' reactions using neural network from equivalent sound level for 24hours (Leq24) or Leq's for four time-sections in a day (LeqM, LeqD, LeqE, LeqN). We applied them to the social survey data for acoustical environment around residence in Nagoya city and discussed their accuracy and validity. Consequently, these models predicted the distribution of community responses as precisely as previous reported model which predicts community responses from categorized Leq24 and land use.
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Keyword(in English) community response / prediction / neural network / equivalent sound level
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Committee EA
Conference Date 1995/5/25(1days)
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Language JPN
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Title (in English) On Prediction Models of Community Response to Acoustical Environment (III) : Predicting with Neural Network from Leq's for Several Time-Sections
Sub Title (in English)
Keyword(1) community response
Keyword(2) prediction
Keyword(3) neural network
Keyword(4) equivalent sound level
1st Author's Name Shigeki Kawai
1st Author's Affiliation Faculty of Engineering, Mie University()
2nd Author's Name Yuichi Noro
2nd Author's Affiliation Faculty of Engineering, Mie University
3rd Author's Name Kazuhiro Kuno
3rd Author's Affiliation Faculty of Engineering, Mie University
Date 1995/5/25
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Volume (vol) vol.95
Number (no) 69
Page pp.pp.-
#Pages 7
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